Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
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Updated
Jan 23, 2025 - Python
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based random optimizers, pattern search, and even random search). [https://jmlr.org/papers/v25/23-0386.html (CCF-A)] (Its Planned Extensions: *PyCoPop7*, *PyNoPop7*, *PyPop77*, and *PyMePop7*)
ACL'2023: Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) format.
Tutorials for the optimization techniques used in Gradient-Free-Optimizers and Hyperactive.
Deep Neural Network Optimization Platform with Gradient-based, Gradient-Free Algorithms
Markov Chain Monte Carlo binary network optimization
🥭 MANGO: Maximization of neural Activation via Non-Gradient Optimization
EvoRBF: A Nature-inspired Algorithmic Framework for Evolving Radial Basis Function Networks
Gradient free reinforcement learning for PyTorch
Modular optimization library for PyTorch.
Blockwise Direct Search (MATLAB version)
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).
A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).
A collection and visualization of single objective black-box functions for optimization benchmarking.
Gradient Free Reinforcement Learning solving Openai gym LunarLanderV2 by Evolution Strategy (Genetic Algorithm)
Implementation code for the paper "Bayesian Optimization via Exact Penalty"
Implementation of smoothing-based optimization algorithms
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